live from Las Vegas it's the cube covering AWS reinvent 2018 brought to you by Amazon Web Services Intel and their ecosystem partners hey welcome back everyone we're live here in Las Vegas with AWS Amazon webster's reinvent our 6th year I'm Jeff our table what they did six years two sets people rolling out of the keynote so much action we got another day coming tomorrow they're two great guests here we got dr. feci philomon is the general manager the machine learning and AI at Amazon Web Services and dr. Taha costs senior leader at healthcare and AI at Amazon guys welcome to the cube Thank You thanks itíd that you're here because I've been waiting to have this conversation Dave and I have been we just had an analysis of the distractions and glued up the stack around machine learning so much value now coming online that's been in the works around AI are really mainly machine learning that's creating a I like benefits and II just had to spend a lot of time with key nuts they almost a third of it around a I like capabilities and how Amazon integrates in from you know chipsets with elastic inference beautiful it's just good stuff so congratulations so what does it mean what does it mean for customers right now who want to kind of grok what's going on with Amazon and AI is that new sense the services coming online is that how long has been the works explaining yeah our mission at AWS has always been to take technologies that have been traditionally available for a few special technology companies and take that and make it available to all developers and we've done that I should say that we've done that fairly well when it comes to compute when it comes to storage when it comes to databases the analytics and we're doing the same thing for machine learning and AI and what we're doing because it's a new field is we've got to innovate at three layers of our stack to the bottom most layer as you saw in the keynote earlier has to do with frameworks and infrastructure so this is more for the people that fully understand how to deal with machine learning models and like to go in and tweak these models the middle layer then is for everyday developers and the data scientists and that's sort of where sage maker fits in and finally at the top layer of the stack is where we have our application services and this is meant for developers that don't want to get into the weeds of machine learning but they still want to use make use of all of these technologies to make their applications more smarter so they get the insight benefits get the insights have the day that without getting in town on the weeds exactly who want to get down in the weeds you can get down and dirty with all this other stuff yeah look at that right yeah and typically what we do with the top layer of the stack as we try and solve really hard problems and so customers can now take advantage of it because we've solved it for them and they can just take that and integrate it into their Apple quick what what's the hardest problem that you guys solve I mean traditionally speech recognition is a very hard problem that's one of the hard problems the other one is NLP natural language processing but I would say speech recognition is probably a hard problem and we just launched streaming transcription so you can now transcribe live as somebody speaks and of course you can connect it to translate and translate it as well live so great for our cute beers looking forward to having that on as a health care practitioner how does this all apply to that industry what kind of projects are you guys working on in that regard of course yeah so I mean to to posses point is want to continue to innovate on behalf of the customers across all layers of the stack machine learning in particular this week we launched Amazon comprehend medical particularly in a hardier heart problem where the majority of healthcare data is captured conversation and observations and unstructured formality so petabytes of data is stored across entire healthcare system that's a nun structure for form so to drive actionable insights and to be able to find the right elements to treat patients or to manage a population or even to do accurate billing it's been really an important that we can empower our customers with building blocks for them to build the right solutions to take advantage of that so Amazon comprehend Medical is able to understand the medical language and the context similar how clinicians understand the medical language and context for example if you're looking at a patient medical note Amazon campaign medicals able to with high accuracy extract medical conditions medications tests procedures being done on the patients as well as the relationship between those and understanding that context at this condition and this treatment go together as well as the nuances for example you know a patient has no family history of X or there's no smoking history all those are things in relation in the past or in the future or other members and this is really what we're really proud about launched an Amazon comprehend medical talk about how it works because you know I Healthcare has been a great field around where a is old-fashioned a is a queer when I wasn't doing it in the 80s early 90s ontologies were really popular and it's linguistics is kind of known but now that but you need that linguistics guru to do that he mentioned streaming the transcribed got metadata how do you guys get this kind of benefit when the balls moving so fast around these rapidly changing and verticals like healthcare because healthcare is got a big problem like other verticals where it's too many notifications what I pay attention to so much data how do you put the puzzle together let me first give you some context here as you probably we're at last reinvent we launched Amazon comprehend right comprehend is a text analytics service it helps you look into text and understand what's in there right we started out with general things that we could detect like people places things sentiment the language the text is written in and so on but when we started customers are picked on it and they're using it a lot but as they keep using it they came back to us and said hey it's great that you guys have this this you're giving us the capability to understand general language but some of our domains have some special language like jargon like yeah like take the legal domain for example right it's got charges and defendants and very particular things that are very relevant to the legal domain so they were asking us for a capability to sort of extend the comprehend to include their custom domain terms and phrases as well right so last week we actually launched a custom custom entities feature that allows them to bring in their custom domain into comprehend so the comprehend be extended to include their domain the so legal language is difficult to understand but medical language on the other hand is even more harder to understand that quick right acronyms jargon absolutely what is an entity looks like extracting that and extracting it uses alone yeah miss spells right but relating those entities together is super important because you could in one clinical note you could have multiple drugs in there with different dosages different frequencies and so you need to be able to relate those entities together right and that's the sort of thing that comprehend Medical allows our customers to do to solve some really so you're doing one of that entity extraction is under the covers is that right has it were I mean how does comprehending the medical work I mean just out of the box you have to train it there's no training meet needed know machine learning expertise needed so the algorithm extract these entities as well as the relationship between those entities and then also extracts any attributes that might be related such as negation or past and future or what's anatomy of the body relates one now all that is done out of the box and that's super important you want to know whether the patient's stopped taking a medication right yeah so negation things like that you want to know because that gives you the context just getting the terms alone doesn't really tell you much it each has had a great video about the f1 point of ethics imagine that for personal that's right you're not doing good right now take a break yeah so I feel like we're kind of now scratching the service of stress in the surface of health care yeah information yeah think about the health care industry for years it's been compliance-driven yeah whether it's hip Affordable Care Act yeah EMR and meaningful use right but the industry hasn't been you know dramatically transformed and disrupted and it kind of needs to be yeah how do you guys see that evolving I feel like you're now beginning to see that see change and that's going to take a while it's a high-risk business obviously but what's your sort of prognosis for that transformation and what's the vision as to the outcome yes now that's a really great question I mean one thing I mean one great things happen over the last decade is the digitization of your medical record so and that's really wonderful because before was all paper-based primarily unless you were an acute setting so now the majority of the US for example and globally there's this huge adopt adoption and propagation of these electronic medical records the issue there remains now when the majority of that data is observations and conversations as well as unstructured that that creates a different kind of roadblock for our customers and this is what we're hoping for service like Amazon comprehend medical that's HIPPA eligible means a lot of the early the compliance or help our customer meet their compliance needs that we'll be able to remove the heavy lifting of this undepreciated task about you know having in a large amount of time being spent on analyzing this text and extracting very low we're now with Amazon company and medical be able to really fast track that and be able to elevate it hit the nail on the head of the undifferentiated heavy lifting right that's the ethos of DevOps is that yeah let me give you some stats actually there are one point two billion medical documents that are generated every year in the US and 80% of them it's unstructured text so to make sense of that it's going to enable our customers to do some really amazing things one of the things one of the use cases that we see is its clinical trial recruitment so Fred Hutchinson which is one of the yeah the nation's top cancer research centers they recruit patients for clinical trials if you go to clinical trials.gov you'll see like 290 thousand four and 50 clinical trials open and typically from history we know that most of these clinical trials don't end up recruiting they don't end up meeting their recruiting goals because it's very hard to figure out which patients fit the clinical trial that you're actually trying to perform so comprehend medical helps these customers to very quickly narrow it down expand on the involvement of people in the community mentioned Fred hutch Roach has also been involved what I heard yeah what who was involved in this project sound it was a collaboration take a minute to explain that right I mean it's very similar to a lot of other services that we put it into the market we collaborate a lot with customers 90% of what we do is really coming from customers so we've collaborated with people like Fred hutch and some of the nation's top institutions to help us validate the service that we've built to actually make sure that its meeting sort of the requirements for those use cases that they are thinking of so we collaborate closely with them to get the service to where this today and we announced it as generally available yesterday ok so what's the use case I'll go ahead yeah I can expand a little bit some of the customers as well their use cases we're talking anywhere from hospital systems that when I use or take advantage of their unstructured text for things such as identify people who are for their follow-up appointments or stopping treatments or find an alternative routes to billers we're trying to identify it is accurate procedures were done if we account for all the procedures or care for all the billing which often time is hidden in those unstructured text and require a lot of manual process and often time the rules that can't really scale to things such as clinical trials recruitment how can you if example in Fred Hutchinson Cancer Institute use case for identify a patient and match them to the right clinical trial these patients often time have Harry Potter's worth of clinical notes down on the minute their longitudinal journey and to go from one institution another another and be able to really find it's no longer needed a haystack it's like a needle in the bottom of Atlantic Ocean and then be able to really do that match from hours and months down to a few seconds and that's really the beauty about the service John likes to talk about the 20 mile stare and I wonder if we could just look ahead how far can we take AI and machine learning in in healthcare and how far should we take it and maybe a more specific question as as a practitioner you know when do you think machines might make better diagnosis than doctors if ever how do you feel about that where do you see this all going I think I mean the whole idea about machine learning the beauty about it I mean the seta scope was introduced or how the thermometer was introduced in medicine and these are tools that we use to our advantage to really provide better care and and better outcomes and that's really what we're that's the mission that our health IT and customers and wanna are really driving tower's machine learning can do a lot of great things for routine things that human being can't can go and focus their attention to other things such as the Fred Hutchinson instead of going and mining these diagnoses in mountain amounts of data a machine learning will be able to identify that with a clinical staff can focus on care and that's really where I think I mean over the next decade and so we can see a lot of this advancement in in these building blocks as well as what Amazon's offering from forecasting and prediction algorithms Rana will be able to find you know fine-tune our capabilities to help customers achieve even precision medicine real-world impact because you're changing the workflow I mean someone's within the wrong line or the wrong process based upon their history yeah HIPPA HIPPA requirements really cause a lot of this record sharing thing to be a problem from what we've been reporting over the years it's kind of a solution to that so if I move to a service medical service I get all that records with me it's just kind of how you see going and how does other regulations that are holding you back that are blockers is that clear now how does that solve the industry challenge it's of privacy and if you look at the healthcare system today there are lots of inefficiencies in there right in the end this is all about improving patient outcomes and making sure that we reduce costs and that's what this boils down to and these are tools that allow our customers to do exactly that well guys thanks for sharing this insight comprehend medicals really awesome opportunities I think it's early days day one is you guys think right I think there's so much more that could be there I'd love to see the industry just from the personal is decided change it's just get out of the way of all these pretty broad hurdles get the data out there expose the data check the privacy box would be good right this is gonna change the game yeah maybe we should say a little bit about the how we built the service in terms of that right as you know at AWS security and privacy is number one for us right so this service is HIPAA eligible it's a stateless service what that means is nothing gets stored this is not the data is not used to improve the models or anything like that the only person that can actually see the data is the customer he's got the keys he's the only one that's sending the data to the endpoint and whatever he gets back only he can decrypt it so we've taken care to make sure that we can remove some of those hurdles that people have always been worried about well doctors take you so much for sharing thank you so much for having us here we are bringing you all the action here from 80s reinvent again as the compute power is increased as software is written with new apps a eyes changing the game of course the cube a lot of video we don't need some of these services to make these transcribes on the fly they succumb and I really appreciate it you think back on the more after this short break [Music]

>> Announcer: Live from Las Vegas, it's theCUBE. Covering Veritas Vision 2017. Brought to you by Veritas. (peppy digital music) >> Veritas Vision 2017 everybody. We're here at The Aria Hotel. This is day two of theCUBE's coverage of Vtas, #VtasVision, and this is theCUBE, the leader in live tech coverage. My name is Dave Vellante, and I'm here with Stuart Miniman who is my cohost for the week. Stu, we heard Richard Branson this morning. The world-renowned entrepreneur Sir Richard Branson came up from the British Virgin Islands where he lives. He lives in the Caribbean. And evidently he was holed out during the hurricane in his wine cellar, but he was able to make it up here for the keynote. We saw on Twitter, so, great keynote, we'll talk about that a little bit. We saw on Twitter that he actually stopped by the Hitachi event, Hitachi NEXT for women in tech, a little mini event that they had over there. So, pretty cool guy. Some of the takeaways: he talked a lot about- well, first of all, welcome to day two. >> Thanks, Dave. Yeah, and people are pretty excited that sometimes they bring in those marquee guests, someone that's going to get everybody to say, "Okay, wait, it's day two. "I want to get up early, get in the groove." Some really interesting topics, I mean talking about, thinking about the community at large, one of the things I loved he talked about. I've got all of these, I've got hotels, I've got different things. We draw a circle around it. Think about the community, think about the schools that are there, think about if there's people that don't have homes. All these things to, giving back to the community, he says we can all do our piece there, and talking about sustainable business. >> As far as, I mean we do a lot of these, as you know, and as far as the keynote speakers go, I thought he was one of the better ones. Certainly one of the bigger names. Some of the ones that we've seen in the past that I think are comparable, Bill Clinton at Dell World 2012 was pretty happening. >> There's a reason that Bill Clinton is known as the orator that he is. >> Yeah, so he was quite good. And then Robert Gates, both at ServiceNow and Nutanics, Condi Rice at Nutanics, both very impressive. Malcolm Gladwell, who's been on theCUBE and Nate Silver, who's also been on theCUBE, again, very impressive. Thomas Friedman we've seen at the IBM shows. The author, the guy who wrote the Jobs book was very very strong, come on, help me. >> Oh, yeah, Walter Isaacson. >> Walter Isaacson was at Tableau, so you've seen some- >> Yeah, I've seen Elon Musk also at the Dell show. >> Oh, I didn't see Elon, okay. >> Yeah, I think that was the year you didn't come. >> So I say Branson, from the ones I've seen, I don't know how he compared to Musk, was probably the best I think I've ever seen. Very inspirational, talking about the disaster. They had really well-thought-out and well-produced videos that he sort of laid in. The first one was sort of a commercial for Richard Branson and who he was and how he's, his passion for changing the world, which is so genuine. And then a lot of stuff on the disaster in the British Virgin Islands, the total devastation. And then he sort of went into his passion for entrepreneurs, and what he sees as an entrepreneur is he sort of defined it as somebody who wants to make the world a better place, innovations, disruptive innovations to make the world a better place. And then had a sort of interesting Q&A session with Lynn Lucas. >> Yeah, and one of the lines he said, people, you don't go out with the idea that, "I'm going to be a businessman." It's, "I want to go out, I want to build something, "I want to create something." I love one of the early anecdotes that he said when he was in school, and he had, what was it, a newsletter or something he was writing against the Vietnam War, and the school said, "Well, you can either stay in school, "or you can keep doing your thing." He said, "Well, that choice is easy, buh-bye." And when he was leaving, they said, "Well, you're either going to be, end up in jail or be a millionaire, we're not sure." And he said, "Well, what do ya know, I ended up doing both." (both laughing) >> So he is quite a character, and just very understated, but he's got this aura that allows him to be understated and still appear as this sort of mega-personality. He talked about, actually some of the interesting things he said about rebuilding after Irma, obviously you got to build stronger homes, and he really sort of pounded the reducing the reliance on fossil fuels, and can't be the same old, same old, basically calling for a Marshall Plan for the Caribbean. One of the things that struck me, and it's a tech audience, generally a more liberal audience, he got some fond applause for that, but he said, "You guys are about data, you don't just ignore data." And one of the data points that he threw out was that the Atlantic Ocean at some points during Irma was 86 degrees, which is quite astounding. So, he's basically saying, "Time to make a commitment "to not retreat from the Paris Agreement." And then he also talked about, from an entrepreneurial standpoint and building a company that taking note of the little things, he said, makes a big difference. And talking about open cultures, letting people work from home, letting people take unpaid sabbaticals, he did say unpaid. And then he touted his new book, Finding My Virginity, which is the sequel to Losing My Virginity. So it was all very good. Some of the things to be successful: you need to learn to learn, you need to listen, sort of an age-old bromide, but somehow it seemed to have more impact coming from Branson. And then, actually then Lucas asked one of the questions that I put forth, was what's his relationship with Musk and Bezos? And he said he actually is very quite friendly with Elon, and of course they are sort of birds of a feather, all three of them, with the rocket ships. And he said, "We don't talk much about that, "we just sort of-" specifically in reference to Bezos. But overall, I thought it was very strong. >> Yeah Dave, what was the line I think he said? "You want to be friends with your competitors "but fight hard against them all day, "go drinking with them at night." >> Right, fight like crazy during the day, right. So, that was sort of the setup, and again, I thought Lynn Lucas did a very good job. He's, I guess in one respect he's an easy interview 'cause he's such a- we interview these dynamic figures, they just sort of talk and they're good. But she kept the conversation going and asked some good questions and wasn't intimidated, which you can be sometimes by those big personalities. So I thought that was all good. And then we turned into- which I was also surprised and appreciative that they put Branson on first. A lot of companies would've held him to the end. >> Stu: Right. >> Said, "Alright, let's get everybody in the room "and we'll force them to listen to our product stuff, "and then we can get the highlight, the headliner." Veritas chose to do it differently. Now, maybe it was a scheduling thing, I don't know. But that was kind of cool. Go right to where the action is. You're not coming here to watch 60 Minutes, you want to see the headline show right away, and that's what they did, so from a content standpoint I was appreciative of that. >> Yeah, absolutely. And then, of course, they brought on David Noy, who we're going to have on in a little while, and went through, really, the updates. So really it's the expansion, Dave, of their software-defined storage, the family of products called InfoScale. Yesterday we talked a bit about the Veritas HyperScale, so that is, they've got the HyperScale for OpenStack, they've got the HyperScale for containers, and then filling out the product line is the Veritas Access, which is really their scale-out NAS solution, including, they did one of the classic unveils of Veritas Software Company. It was a little odd for me to be like, "Here's an appliance "for Veritas Bezel." >> Here's a box! >> Partnership with Seagate. So they said very clearly, "Look, if you really want it simple, "and you want it to come just from us, "and that's what you'd like, great. "Here's an appliance, trusted supplier, "we've put the whole thing together, "but that's not going to be our primary business, "that's not the main way we want to do things. "We want to offer the software, "and you can choose your hardware piece." Once again, knocking on some of those integrated hardware suppliers with the 70 point margin. And then the last one, one of the bigger announcements of the show, is the Veritas Cloud Storage, which they're calling is object storage with brains. And one thing we want to dig into: those brains, what is that functionality, 'cause object storage from day one always had a little bit more intelligence than the traditional storage. Metadata is usually built in, so where is the artificial intelligence, machine learning, what is that knowledge that's kind of built into it, because I find, Dave, on the consumer side, I'm amazed these days as how much extra metadata and knowledge gets built into things. So, on my phone, I'll start searching for things, and it'll just have things appear. I know you're not fond of the automated assistants, but I've got a couple of them in my house, so I can ask them questions, and they are getting smarter and smarter over time, and they already know everything we're doing anyway. >> You know, I like the automated assistants. We have, well, my kid has an Echo, but what concerns me, Stu, is when I am speaking to those automated assistants about, "Hey, maybe we should take a trip "to this place or that place," and then all of a sudden the next day on my laptop I start to see ads for trips to that place. I start to think about, wow, this is strange. I worry about the privacy of those systems. They're going to, they already know more about me than I know about me. But I want to come back to those three announcements we're going to have David Noy on: HyperScale, Access, and Cloud Object. So some of the things we want to ask that we don't really know is the HyperScale: is it Block, is it File, it's OpenStack specific, but it's general. >> Right, but the two flavors: one's for OpenStack, and of course OpenStack has a number of projects, so I would think you could be able to do Block and File but would definitely love that clarification. And then they have a different one for containers. >> Okay, so I kind of don't understand that, right? 'Cause is it OpenStack containers, or is it Linux containers, or is it- >> Well, containers are always going to be on Linux, and containers can fit with OpenStack, but we've got their Chief Product Officer, and we've got David Noy. >> Dave: So we'll attack some of that. >> So we'll dig into all of those. >> And then, the Access piece, you know, after the apocalypse, there are going to be three things left in this world: cockroaches, mainframes, and Dot Hill RAID arrays. When Seagate was up on stage, Seagate bought this company called Dot Hill, which has been around longer than I have, and so, like you said, that was kind of strange seeing an appliance unveil from the software company. But hey, they need boxes to run on this stuff. It was interesting, too, the engineer Abhijit came out, and they talked about software-defined, and we've been doing software-defined, is what he said, way before the term ever came out. It's true, Veritas was, if not the first, one of the first software-defined storage companies. >> Stu: Oh yeah. >> And the problem back then was there were always scaling issues, there were performance issues, and now, with the advancements in microprocessor, in DRAM, and flash technologies, software-defined has plenty of horsepower underneath it. >> Oh yeah, well, Dave, 15 years ago, the FUD from every storage company was, "You can't trust storage functionality "just on some generic server." Reminds me back, I go back 20 years, it was like, "Oh, you wouldn't run some "mission-critical thing on Windows." It's always, "That's not ready for prime time, "it's not enterprise-grade." And now, of course, everybody's on the software-defined bandwagon. >> Well, and of course when you talk to the hardware companies, and you call them hardware companies, specifically HPE and Dell EMC as examples, and Lenovo, etc. Lenovo not so much, the Chinese sort of embraced hardware. >> And even Hitachi's trying to rebrand themselves; they're very much a hardware company, but they've got software assets. >> So when you worked at EMC, and you know when you sat down and talked to the guys like Brian Gallagher, he would stress, "Oh, all my guys, all my engineers "are software engineers. We're not a hardware company." So there's a nuance there, it's sort of more the delivery and the culture and the ethos, which I think defines the software culture, and of course the gross margins. And then of course the Cloud Object piece; we want to understand what's different from, you know, object storage embeds metadata in the data and obviously is a lower cost sort of option. Think of S3 as the sort of poster child for cloud object storage. So Veritas is an arms dealer that's putting their hat in the ring kind of late, right? There's a lot of object going on out there, but it's not really taking off, other than with the cloud guys. So you got a few object guys around there. Cleversafe got bought out by IBM, Scality's still around doing some stuff with HPE. So really, it hasn't even taken off yet, so maybe the timing's not so bad. >> Absolutely, and love to hear some of the use cases, what their customers are doing. Yeah, Dave, if we have but one critique, saw a lot of partners up on stage but not as many customers. Usually expect a few more customers to be out there. Part of it is they're launching some new products, not talking about very much the products they've had in there. I know in the breakouts there are a lot of customers here, but would have liked to see a few more early customers front and center. >> Well, I think that's the key issue for this company, Stu, is that, we talked about this at the close yesterday, is how do they transition that legacy install base to the new platform. Bill Coleman said, "It's ours to lose." And I think that's right, and so the answer for a company like that in the playbook is clear: go private so you don't have to get exposed to the 90 day shock lock, invest, build out a modern platform. He talked about microservices and modern development platform. And create products that people want, and migrate people over. You're in a position to do that. But you're right, when you talk to the customers here, they're NetBackup customers, that's really what they're doing, and they're here to sort of learn, learn about best practice and see where they're going. NetBackup, I think, 8.1 was announced this week, so people are glomming onto that, but the vast majority of the revenue of this company is from their existing legacy enterprise business. That's a transition that has to take place. Luckily it doesn't have to take place in the public eye from a financial standpoint. So they can have some patient capital and work through it. Alright Stu, lineup today: a lot of product stuff. We got Jason Buffington coming on for getting the analyst perspective. So we'll be here all day. Last word? >> Yeah, and end of the day with Foreigner, it feels like the first time we're here. Veritas feels hot-blooded. We'll keep rolling. >> Alright, luckily we're not seeing double vision. Alright, keep it right there everybody. We'll be back right after this short break. This is theCUBE, we're live from Vertias Vision 2017 in Las Vegas. We'll be right back. (peppy digital music)

>>Live from the Mandalay convention center in Las Vegas, Nevada. It's not cue at IBM insight 2014 >>you're all your hosts. John furrier and Dave Volante.. >>Okay. Welcome back everyone. We're here live inside the cube at IBM insight. I'm Sean with Dave Volante. We go after the events, extract the signal and noise. We go wall to wall covers what we do here. I don't, of course we're excited to have awesome gas. We talked to the executives, entrepreneurs, but we get the media stars in here. Uh, Katie Lyndon doll. Welcome to the cube. You are with CNN, the today show. You're the tech correspondent and you get a lot of energy. I could just tell this is going to be fun. It's been fun to hear the last few days. So I mean, Watson is the geeky story of any what, what are you seeing? Let me get the wife in a second. But outside of Watson, what's the coolest thing you've seen? >>I'm constantly on the hunt for the latest innovations in technology and I think that's probably the best part about my job. And always chasing down high level stories. I recently just came back for a dive with NASA. I learned that NASA astronauts actually train underwater to simulate microgravity and I'm like, Oh my gosh, no way. And they're like, do you want to come down to the world's only Marine underwater habitat? I was like, yes, please. So went down to the Florida keys, it's an hour off the coast and was diving literally with NASA European space agency and the Canadian space agency underwater. And again, it's the world's only underwater Marine habitat and seeing how they train in everything from asteroid mining to um, underwater surgery to actually seeing how the body responds to exercise. I guess water simulates one sixth of gravity. So it was a pretty dynamic shoot. >>I was doing that for NBC news and it's just I, those are the types of stories. I, I am a diver. I actually was doing a story on big data last year and it required me to get my dive certs and the Island of Bermuda feel very bad. It was a presentation that I was speaking on here at insight a, there was all this crowdsourced information about how the lion fish, if you've ever heard of the lion fish has been, it's an invasion in the Atlantic ocean. I took all of this information and metrics and made a story for CNN and it required me to get my advanced dive certs. So now I'm getting all these dive stories cause there's not a lot of us dive reporters. So the lion fish story for CNN too. Another good example of a piece that I go after. >>So you, you bring a lot of energy. What do you see here? I mean you see a lot of stories and you get pitched stories. I can imagine that your email box flux, I mean it's like, Oh >>I have 78,000 unread emails right now. I'm not proud of that. But yes, constantly being pitched. >>I had 40,000 I'm a little bit blind. I'm going to give that to you in the today show. Not too shabby. But what do you do? You get pitched all the time and so you got the vet stories. What's your formula for vetting stories? I mean, what gets your attention and how do you go outside your comfort zone to select good stories? What your attention. It's funny, >>you know, so I've been in television for the last 10 years and I feel like now I have this internal barometer and knowing when something's very good and the scope of the things that I cover from, you know, in the past month alone when I was talking about the NASA piece and then I'll flip the next day and do top Halloween gadgets on today's show. So it's, it's very vast, but I can instantly tell and it's, it's come through experience and being in a background in technology and knowing what's gonna work for the consumer and knowing a hot product. When I see it and I I T I gotten pretty good I think at it spotting a product that a consumer is going to love but also finding a story that is, maybe it's super nerdy, but my job is to take it and to bring it down to a level that's entertaining for any kind of audience, whether it be CNN or whether it be today. >>So it says your Guinness book of world record holder, share that in little nugget with the folks in. Yes, that is a true story. I have a Guinness world record holder in the most high fives and one minute. Okay, so this probably solicit some like how the heck did that happen? I've always been fascinated with Guinness world records and I always wanted one and I've always been obsessed with a high five like I am paranoid of huggers, there's nothing that scares me more or good high five just go for the five. I don't want to bring it in and okay, it's a little OCD. I will completely aware. So anyways, I found that this Guinness world record was held by a clown in England for the most high fives and one minute. So I convinced I was hosting a show on spike TV and I convinced them to allow me to break this record. >>So we had all these people line up in the MTV cafeteria and you have a Guinness world record adjudicator come onsite, you get two tries and if you win you get a plaque in a formal ceremony. The cube before we should do the most consecutive interviews to having a drink of water. We want to just come here and we could break something able to break something or like you said, it's his official. Yeah, we started to get like real nervous and like hot and yeah, so I had two tribes. Oh I was, I was giving him a big ass big fitness person. So I was like ready. And if clown beats me at this point, it's over your careers. division. You'll never work again because I beat it on the first try and then I advanced it on a single hand or you go, there's a whole process as you can imagine with the adjudicator's she's like real intense. >>She's like counting with her clicker on the high five so I go down this line of people and it has to be over there can't be like a mailed in like you know like a high five you go for the five names and then I got a couple that were disqualified, you know like a couple didn't count because it wasn't like a full on five four so like a film replay. Super slow motion. I like argued a few. I was like no, I was for sure up on that one. The flag, it was sponsored by PRL. It wasn't but it should have been but it was fun. So I have a plaque how many? 107 heard rumors that it's been broken but I didn't care as long as I've got a plan to that plan at one point. Okay. Let's cut to about IBM because Watson is the coolest thing I'll say is pretty mainstream. >>It hits your wheelhouse. I'll see for the day I've seen jeopardy. Absolutely. Now how does that translate into a story for sure. Stuff going on here. What do you, so what's very cool about Watson? I called my boyfriend because I've had a relationship with him now over the last few years, a few years ago on CVS. I actually got to challenge Watson on a full game of jeopardy and I think that was of course the most, the most memorable part of Watson when he took on the two, you know, jeopardy champions. But so this is like a lifetime moment for me. I got a full game of jeopardy, me Watson and another individual smoked me and actually I was doing okay and then it was like tennis vocab. I was like, Oh, I got this. You know, like I've been in sports my whole life. I've been worked at ESPN for seven years. >>I got this in the bag, I was doing good. And then they were like, Oh, we had them on the low setting. I was like, all right, really? Like really? Like I was just feeling good about myself. I finished with $2, two bucks. Um, and I thought it was so cool how gimmicky it was, you know, in a healthy beach in the tennis category. Oh, you smoking, you never in the low setting for sure. I got a few of those, a few. I actually got set in Tennessee vocab. You're going to have it right. Even watching tennis your whole life. Right. ESPN is embarrassing and disappointing. And then I weighed you too much and then the double jeopardy. Anyways, I digress. So how cool is it that I got to play Watson but then now years later seeing the power in it in many different developments and most notably I work over at as a volunteer at Sloan Memorial Kettering cancer center for a small group called Candlelighters that works with individuals that come in from around the world for cancer treatments. >>Now Sloan is one of those powerful cancer centers in the world is actually using it as predictive analysis. So here and I work with these kids and I, it's very complex. When they go in for a diagnosis, there's lots of different problems that they have and really it's, it's, it's, it's, it's guesswork for a doctor now. They can put all of these things that are happening with it, with a child into a machine, and they can pump out a hypotheses. Of course, you're going to have to have the human interaction tailored with that to have the emotional side, but I had been fascinated, especially on the medical side, watching your boyfriend at this point. That's interesting. We'll get that to the world of Facebook. It's complicated. I heard rumors that he's talks back and we'll listen to this a true statement. He's a lot smarter than I am. >>I'm intimidated by that, but what's the coolest demo with Watson that you've seen besides jeopardy? Yeah, that would have, well I actually learned something new from a few developers that I met yesterday about the new chef app. So being able to go into your pantry and to do some recipe from what you have, the ingredients you have insider, I think that's a little more consumer friendly. So I was kind of like, um, I'm excited to check that one out. Looking at the tech landscape, what are you most excited about? I mean, what's the coolest kind of consumer meats like gadget, short door, tech cloud. If you could pull a few favorites at what's, what's drawing your attention? Uh, one that we actually had here that's probably popped into mind. There's so many to choose from, but in the world of Oculus rift, and the reason I say that is not for the gaming aspect, but more for the potential in the landscape of physical therapy. >>The first time I got on Oculus raft, I was actually training on a Navy boat and I was doing a segment where all my camera men were all around me. I lost track of reality and I got so immersed into virtual reality and being there and even as a huge diver, I get very motion sick and I got motion sick on the boat. Being in this physical, this augmented reality world, we're actually shooting this at the birthplace of Oculus rift. So we really diving behind the scenes into the actual, uh, software and hardware and it was such a cool, immersive experience and realize that what this could do for physical therapy or even at the dentist at a lower end, I think the capabilities for augmented reality and taking yourself out of that moment are huge. So I think that's very exciting. How about drones? >>Oh my gosh. So yes, let's talk to, and my nephew the other day and he said, do you want to see the drone that I built? And I said, yeah, it's got this four or five quadcopter. It's a quadcopter. Yup. I said, where'd you get the software for? He goes, I'll download it. It's all open source. I hacked it a little bit. I actually have several drones. Okay. Nominal. Because this blew me away. I probably have what I consider is the best prosumer drone. It's a DGI Phantom, a DJI Phantom two and I have got some incredible aerial footage over the mountains of Montana and also over a Bermuda, the Island of Bermuda. I sent it up, put it over a shipwreck, gorgeous. And for me as a flake, being in photo and video and going out and getting my own video and not having to rely on a cop, a copter for, you know, that would be thousands of dollars worth of footage or relying on a cameraman. >>I just sent that baby up. I'm like, please don't hit anybody. It's a little hard to operate when you get the one, the higher end models. I have a couple of the parents too. There are a lot easier to operate and do it right from my iPhone, but I am just like, I'm so into it now. I think it's a little gimmicky when we talk about Amazon and pizza deliveries and taco deliveries and beer deliveries with a drone shooting surprises. Texas man, what am, I don't know about that. But uh, I think it's fascinating. I think it's a really cool technology. And again, I've personally saved tens and thousands of dollars using my drones. So you, when you flew over these sites yet proximate, so you had visual concepts. So the Phantom Jerome that I have, that's my favorite one. I actually attach a GoPro to it so I can send it up and I use the gyroscope or just kind of move my GoPro around in mid air. It goes hundreds of feet high. I mean, you've really got to get a grasp on it and know what you're doing. I had it out in a field well before I took it out to an Island on a beach. But I'm not, a drive is not something you really, it's not a remote control car. Now did you build it? Oh no. Goodness. Aww, that's totally on the market. Yeah, I got it at B and H photo >>sending them out. So in San Francisco off their balconies and then they're going out to, you know, angel Island, Alcatraz, and literally they're flying out then unregulated. It's like someday there'll be drone collisions, let's say this is unregulated. This is a huge, people are geeking out with the drones. It's super exciting. Dave camera's shooting down him sending him into football venues or you know, the world series delivering packages. But mom's a streaker. I mean Amazon. I like that. Okay. So what else is new for you? Tell us more about some, some cool behind the scenes at a today's show. Any sad night live, uh, opportunities for you next been >>to Saturday night live. Oh my gosh. By the way, that's like the hottest ticket in New York to get. I've had the opportunity to go to two shows cause my friend's a cameraman over there. The rehearsal for it is like amazing. I know that's a huge digression, but talking about something to see in person, that's one of my bucket lists. Phenomenal. Yeah. Phenomenal. What else is new in New York and the scene there? Uh, Oh, we constantly covering a lot of different pieces. Uh, one, I just came back from Africa a little bit ago. I was doing a number of pieces over there from an elephant orphanage to one of my favorite pieces that we'll be rolling out soon. I did it for cnn.com and also working on a video piece of it. I went in embedded myself in the second poorest part of the entire world in the slums of Kibera, Kenya, and it was amazing to see that in these very poor areas, 70 to 80% cell penetration. A lot of people don't think that a smartphone would be prevalent. It sure is. And these kids, yeah, absolutely. There's cell towers everywhere. These kids were, you know, they don't have much, but they have e-reader devices and they can have thousands of books when they're walking 10 miles to school. You walk into the school that doesn't have any electricity, it's a hundred degrees, but they all have e-readers, Kindles right on their desk. I was blown away. I went to several different schools around Eastern Kenya. Fascinating story to be able to cover. So >>yeah, that's a really good point. In mobile penetration. If I was talking to this startup that where their business plan is to build, sell a solar battery recharging stations because they have the exact points, like they have all these devices but it's not, they don't have the traditional electricity and the parks >>one outlet in the entire school. So fortunately for, you know, with wifi off it's about a week charge on a Kindle. So it is, >>yeah, I think, I think that's a great market opportunity. Certainly in emerging countries, the mobile penetration, I'm so suites about the IBM show here. Is this your first time here or, >>I have had the luxury and the opportunity to be a part of several IBM events and everyone is so uniquely different. And this one all about developers obviously. So something I get to nerd out in myself in that is an it girl and also a developer. It's fun to be able to learn. I picked up so much new information so I just kind of like, they're like, you can, you're done with, I'm like, I'm going to hang out for a little bit longer. >>You know, you know you're a, you know, you're a geek when you're geeking out, when you're off the clock, you know Steve and I the same way. We're like we should stop rookies now let's keep going. So CES, UFC, yes, >>yes, every year for sure. And for anyone that hasn't been to CF, it's kind of on the bucket list for anybody that's attending technology, 35 football fields full of gadgets. Amazing. Yeah, it's always one of my biggest times of the year. So we'll be back here. >>now do you enjoy CES or is it a hard slog for you because you must have to really get down and dirty for CS, I mean a lot of stuff to cover. >>I did and I tried to make it to like the most random boosts. I find someone of my best technology products and like the ma and PA type shops that don't have the million dollar booth and like you know that are really back in a corner and I'm like zero in, >>you go on to cover, by the way, do you go into cover? You kind of sneak in there and you go into the camera guys. No, I go for it. You go for it. Okay. Time. Okay. All right guys. Um, that's awesome. Well can. Thanks for coming on the cube. We really appreciate spending the time. We'd love the personality. I love the energy. I mean Dave and I think you know, we're, first of all we're huge fans of your work. Especially the ESPN part. No, we're, we're big sports fans. In fact we call this the ESPN of tech cause it's our kind of version of like trying to be like ESPN. But we think technology is going mainstream. People at this new generation are geeks and even too, you alluded to ESPN, even sports and technology, I can't tell you how many pieces I've covered in pro athletes and how tech is entering in that space. Everywhere. Disruption in the data, the social media, you know, limiting have agents that go direct to the audience. Just super exciting. I mean I'm real big fan of media, tech, sports and entertainment. Thanks for coming on the cube. We appreciate it. We'll be right back with this after the short break here inside the cube live in Las Vegas. I'm John and Dave. We write back.